... government optimization simulation experiment 2 iteration middle east trajectory optimization experiment comparison producer experiment 1 injector incremental npv drilling sequence multi-reservoir carbonate field reservoir simulation gradient Introduction In most real-world problems...

... and adjustment processes are done by exploiting the following two equations of Mahalanobis distance and confidence ellipse calculation. These calculations are utilised first inside the history-matching loop prior to the iterations for identifying the rock types and relevant confidence ellipse characteristics...

... petroleum engineer reservoir simulation optimal water-alternating-gas flooding hybrid neural workflow reservoir simulator society iteration Introduction WAG optimization is a complex and compute intensive process further compounded by the reservoir description, gas flooding characteristics...

... united states government optimization iteration prediction denote convergence criteria stosag simulation constraint algorithm reynolds ls-svr proxy deep learning machine learning approximate gradient proxy-based optimization e2co journal nonlinear constraint Introduction (4...

... Artificial Intelligence Upstream Oil & Gas Reservoir Management iteration optimization problem constraint lagrangian barrier method output constraint trust region method algorithm Lagrangian Method reservoir simulation objective function iitrf-sqp method Injection Rate production...

... platform spe reservoir simulation symposium matrix grid cell preconditioner MPI processor grid simulator linear solver information iteration neighbor Introduction Nowadays, large-scale reservoir simulations are required by the oil and gas industry to simulate complex geological models...

... in simulation technology, with emphasis on scalability and optimal management of multi-core architectures. Modeling & Simulation scalability fine model node simulator field management key simulation performance indicator reservoir simulation reservoir simulator iteration reservoir model...

... nonlinear iterations is not only scalable with respect to the number of processors, but also significantly reduced compared with the standard inexact Newton method with a backtracking technique. Moreover, the ASPIN method, in contrast with the IMPES method, saves overall execution time because...

... benefit from modeling and resolution of complex surface/subsurface interactions. artificial intelligence upstream oil & gas modeling & simulation investment optimization problem completion assumption realization spe 145070 iteration interpretation constraint history workflow...

... composition saturation upstream oil & gas simulation orr jr iteration instability llv equilibrium enhanced recovery liquid phase phase diagram co 2 kpa compositional simulator equation Introduction The computational cost of compositional simulation is considerably higher than...

... and efficiency of the new methodology. This reservoir, located onshore Abu-Dhabi, comprises a strong progradational internal geometry with several clinoforms which amplify the internal complexity of the reservoir and have a strong impact on well production. This iterative methodology is based on global...